Physics-driven deep learning photoacoustic tomography

Photoacoustic tomography (PAT) is a rapidly emerging biomedical imaging modality. To achieve high-performance imaging, signal acquisition in PAT should ideally meet conditions such as full-view detection and dense sampling. However, these circumstances are rarely met in reality, leading to the ill-p...

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Autors principals:	Kang Shen, Kuo Niu, Songde Liu, Yannis M. Paulus, Xiaohua Jiang, Chao Tian
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co. Ltd. 2026-05-01
Col·lecció:	Fundamental Research
Matèries:	Photoacoustic tomography Image reconstruction Deep learning Filtered back projection Incomplete projections
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2667325824003583
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